| 2021 | ASRU | Tiny-CRNN: Streaming Wakeword Detection in a Low Footprint Setting. | Mohammad Omar Khursheed, Christin Jose, Rajath Kumar, Gengshen Fu, Brian Kulis, Santosh Kumar Cheekatmalla |
| 2020 | Interspeech | Building a Robust Word-Level Wakeword Verification Network. | Rajath Kumar, Mike Rodehorst, Joe Wang, Jiacheng Gu, Brian Kulis |
| 2020 | Interspeech | An Audio-Based Wakeword-Independent Verification System. | Joe Wang, Rajath Kumar, Mike Rodehorst, Brian Kulis, Shiv Naga Prasad Vitaladevuni |
| 2018 | Interspeech | Music Source Activity Detection and Separation Using Deep Attractor Network. | Rajath Kumar, Yi Luo, Nima Mesgarani |
| 2018 | Interspeech | On Convolutional LSTM Modeling for Joint Wake-Word Detection and Text Dependent Speaker Verification. | Rajath Kumar, Vaishnavi Yeruva, Sriram Ganapathy |
| 2017 | ASRU | Deep learning methods for unsupervised acoustic modeling - Leap submission to ZeroSpeech challenge 2017. | T. K. Ansari, Rajath Kumar, Sonali Singh, Sriram Ganapathy |
| 2017 | ASRU | Unsupervised HMM posteriograms for language independent acoustic modeling in zero resource conditions. | T. K. Ansari, Rajath Kumar, Sonali Singh, Sriram Ganapathy, V. Susheela Devi |
| 2014 | JSSPP | Prediction of Queue Waiting Times for Metascheduling on Parallel Batch Systems. | Rajath Kumar, Sathish Vadhiyar |
| 2012 | JSSPP | Identifying Quick Starters: Towards an Integrated Framework for Efficient Predictions of Queue Waiting Times of Batch Parallel Jobs. | Rajath Kumar, Sathish Vadhiyar |